Run
1860877

Run 1860877

Task 9914 (Supervised Classification) wilt Uploaded 28-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.00643355992843828
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight119.252527211476
mlr.classif.xgboost(4)_subsample0.878771600266919
mlr.classif.xgboost(4)_colsample_bytree0.980018920265138
mlr.classif.xgboost(4)_colsample_bylevel0.44712565629743
mlr.classif.xgboost(4)_lambda0.0106781573436368
mlr.classif.xgboost(4)_alpha3.220749917439
mlr.classif.xgboost(4)_nrounds1432
mlr.classif.xgboost(4)_verbose0
mlr.classif.xgboost(4)_openml.seed1
mlr.classif.xgboost(4)_openml.kindMersenne-Twister
mlr.classif.xgboost(4)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.902
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9198
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-916.7932
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0983
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.895
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9461
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9461
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9613
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2176
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9631
Cross-validation details (10-fold Crossvalidation)